This paper introduces a new modeling technique that is able to calculate a graph where relationships between activities are shown without forcing the user to specify a case notion,
since different case notions are combined in one succint diagram.
The resulting models are called MVP models. Such models belong to the class of artifact-centric models [1]}, [2]} that combine
data and process in a holistic manner to discover patterns and check compliance [3]}.
MVP models are annotated with frequency and performance information (e.g., delays) and provide a holistic view on the whole process.
The colors of the relationships refer to the original classes. Using frequency based filtering and selections the MVP model can be seamlessly simplified.
Any non-empty subset of classes provides a viewpoint. Given a viewpoint and an MVP model, we can automatically generate a classical event log and apply existing process mining techniques.
Hence, the holistic view of the MVP model is complemented by detailed viewpoint models using conventional notations like Petri nets, BPMN models, process trees, or simple directly-follows graphs.
